| RLHFPoison: Reward poisoning attack for reinforcement learning with human feedback in large language models J Wang, J Wu, M Chen, Y Vorobeychik, C Xiao Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 51* | 2024 |
| Neural lyapunov control for discrete-time systems J Wu, A Clark, Y Kantaros, Y Vorobeychik Advances in neural information processing systems 36, 2939-2955, 2023 | 46 | 2023 |
| Axioms for ai alignment from human feedback L Ge, D Halpern, E Micha, AD Procaccia, I Shapira, Y Vorobeychik, J Wu Advances in Neural Information Processing Systems 37, 80439-80465, 2024 | 45 | 2024 |
| Robust deep reinforcement learning through bootstrapped opportunistic curriculum J Wu, Y Vorobeychik International Conference on Machine Learning, 24177-24211, 2022 | 37 | 2022 |
| Exact verification of relu neural control barrier functions H Zhang, J Wu, Y Vorobeychik, A Clark Advances in neural information processing systems 36, 5685-5705, 2023 | 36 | 2023 |
| Preference poisoning attacks on reward model learning J Wu, J Wang, C Xiao, C Wang, N Zhang, Y Vorobeychik 2025 IEEE Symposium on Security and Privacy (SP), 1622-1640, 2025 | 15 | 2025 |
| Manipulating Elections by Changing Voter Perceptions J Wu, A Estornell, L Kong, Y Vorobeychik Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022 | 8 | 2022 |
| Verified safe reinforcement learning for neural network dynamic models J Wu, H Zhang, Y Vorobeychik Advances in Neural Information Processing Systems 37, 117762-117783, 2024 | 7 | 2024 |
| Certifying safety in reinforcement learning under adversarial perturbation attacks J Wu, H Sibai, Y Vorobeychik 2024 IEEE Security and Privacy Workshops (SPW), 57-67, 2024 | 3 | 2024 |
| Learning generative deception strategies in combinatorial masking games J Wu, C Kamhoua, M Kantarcioglu, Y Vorobeychik International Conference on Decision and Game Theory for Security, 98-117, 2021 | 3 | 2021 |
| From Personal to Collective: On the Role of Local and Global Memory in LLM Personalization Z Wang, J Wu, ZH Tan, B Li, X Zhong, Z Liu, Q Zeng arXiv preprint arXiv:2509.23767, 2025 | 1 | 2025 |
| Structure-R1: Dynamically Leveraging Structural Knowledge in LLM Reasoning through Reinforcement Learning J Wu, X Zhong, J Sun, B Li, B Jin, J Han, Q Zeng arXiv preprint arXiv:2510.15191, 2025 | | 2025 |
| DRIFT: Learning from Abundant User Dissatisfaction in Real-World Preference Learning Y Wang, B Li, J Wu, Z Tan, Z Liu, R Zhang, A Grama, Q Zeng arXiv preprint arXiv:2510.02341, 2025 | | 2025 |
| Learning Vision-Based Neural Network Controllers with Semi-Probabilistic Safety Guarantees X Ma, J Wu, H Sibai, Y Kantaros, Y Vorobeychik arXiv preprint arXiv:2503.00191, 2025 | | 2025 |
| Trustworthy Autonomy Through Robust Control and Alignment J Wu Washington University in St. Louis, 2025 | | 2025 |
Yevgeniy VorobeychikWashington University in Saint LouisVerified email at wustl.edu
